Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Leakage estimation"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
GEOPHYSICS. 86:V353-V360
Surface-related multiple elimination (SRME) has proven to be a robust surface multiple and primary estimation tool for decades. However, surface-related multiple leakage is still commonly observed in SRME-processed results due to imperfect multiple p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48758d98e9fe59c77f8d746ae2417963
https://doi.org/10.1190/geo2020-0420.1
https://doi.org/10.1190/geo2020-0420.1
Autor:
Jinwook Kim, Young Hwan Kim
Publikováno v:
IEEE Access, Vol 2, Pp 183-194 (2014)
This paper proposes a hybrid gate-level leakage model for the use with the Monte Carlo (MC) analysis approach, which combines a lookup table (LUT) model with a first-order exponential-polynomial model (first-order model, herein). For the process para
Externí odkaz:
https://doaj.org/article/89e3c330ff2348e588e31f1c4aaab9f1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Water Supply. 20:2296-2310
Calculating the water loss and leakage in the water distribution networks (WDNs) is performed for various reasons such as monitoring and optimizing, active control, estimating economical damage, and predicting the demand in the network development pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a03d92d1444b17ecb9008d417eae576
https://doi.org/10.2166/ws.2020.137
https://doi.org/10.2166/ws.2020.137
Autor:
Mauro De Marchis, Barbara Milici
Publikováno v:
Water Resources Management. 33:1167-1183
The definition of the relationship between the leak outflow, the total head at the leak and other relevant parameters such as pipe stiffness, leak dimension and shape has been object of extensive studies. The attention to a correct estimation of leak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e706ff2c389e55d56baa09ae2d2c7128
https://doi.org/10.1007/s11269-018-2173-4
https://doi.org/10.1007/s11269-018-2173-4
Autor:
A.S. Shabalin, O.K. Shabalina
Publikováno v:
Automation, Telemechanization and Communication in Oil Industry. :46-49
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::791cac0ff1c94719a5b18fcfd3f2ea7f
https://doi.org/10.33285/0132-2222-2019-2(547)-46-49
https://doi.org/10.33285/0132-2222-2019-2(547)-46-49
The present paper studies the fire-induced pressure evolution in an air-tight compartment. Two cases with different sizes (i.e., 0.3 m × 0.3 m and 0.5 m × 0.5 m) of square methanol pool fire are considered. Repeated tests were performed for each ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8006dde13476be8407ce946bc439c41f
https://lirias.kuleuven.be/handle/123456789/681819
https://lirias.kuleuven.be/handle/123456789/681819
Autor:
Romanelli, Marco
Publikováno v:
Information Theory [cs.IT]. Institut Polytechnique de Paris; Università degli studi (Sienne, Italie), 2020. English. ⟨NNT : 2020IPPAX045⟩
In recent years, there has been an increasing involvement of artificial intelligence and machine learning (ML) in countless aspects of our daily lives. In this PhD thesis, we study how notions of information theory and ML can be used to better measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::f514558adfb51c7dd4b0dd0c5dc73971
https://tel.archives-ouvertes.fr/tel-03047081
https://tel.archives-ouvertes.fr/tel-03047081